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Travis Lawrence

Data Teams: A Unified Management Model for Successful Data-Focused Teams

In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.

Automating the Security of your Data (DataSecOps) with eXate

In today’s episode, you will hear from the co-founders of eXate Peter Lancos and Sonal Rattan. eXate streamlines, automates and simplifies the processes of storing, interpreting, and extracting value from data assets. It democratizes data privacy for organizations by providing a simple, embedded platform that automates the technical enforcement of data policies.

Azure Exam DP-203: Data Engineering on Microsoft with Chris Testa-O’Neill

In today’s episode, you will hear from Chris Testa-O’Neill, a thought leader in the Microsoft Data and AI space, currently part of the World Wide Learning team at Microsoft scaling his knowledge to thousands of people through his official Microsoft Learn content and Microsoft courses.

How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage with Doug Laney

In today’s episode, you hear from Doug Laney best-selling author and recognized authority on data and analytics strategy. Doug’s book, Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage, was selected by CIO Magazine as the “Must-Read Book of the Year” and one of the “Top 5 Books for Business Leaders and Tech Save Innovators.”